In the maritime supply chain, sailing speed is a key variable governing ship-to-air emissions and the profitability of vessels. While there can be substantial economic gains to be had from dynamic speed optimization, real-life constraints such as weather conditions, contractual limitations and supply chain considerations may govern the speed choice in practice. The increasing availability of high-frequency ship positions and vessel speeds reported by the terrestrial and satellite-based Automated Identification System (AIS) enables formal empirical testing of the determinants of vessel speed. We use a panel data set of nearly 62,000 weekly average speed observations for a fleet of 607 Very Large Crude oil Carriers (VLCCs) during 2013 – 2015 to estimate a multiple regression model with technical, operational and macro-economic variables. We find that macroeconomic variables have a marginal influence only on ballast speeds, while laden speeds are influenced mainly by whether the operator is also the cargo owner.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vessel speed analytics using satellite-based ship position data


    Beteiligte:
    Adland, R. O. (Autor:in) / Jia, H. (Autor:in)


    Erscheinungsdatum :

    01.12.2016


    Format / Umfang :

    1695329 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    SHIP TYPE OF HIGH SPEED VESSEL

    IKEDA TSUTOMU / KATO MASARU | Europäisches Patentamt | 2016

    Freier Zugriff

    Using Big Data Technologies for Satellite Data Analytics

    Mateik, Dennis / Mital, Rohit / Buonaiuto, Nicholas L. et al. | AIAA | 2017


    Satellite emergency radio position indicating mark for ship

    CUI XIAOFEI | Europäisches Patentamt | 2021

    Freier Zugriff


    Knowledge-based vessel position prediction using historical AIS data

    Mazzarella, Fabio / Arguedas, Virginia Fernandez / Vespe, Michele | IEEE | 2015